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1909.04630
Cited By
Meta-Learning with Implicit Gradients
Neural Information Processing Systems (NeurIPS), 2019
10 September 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
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Papers citing
"Meta-Learning with Implicit Gradients"
50 / 551 papers shown
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452
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176
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199
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Jinhui Xu
369
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03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Xiaohan Zou
Tong Lin
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148
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03 Oct 2022
Meta Knowledge Condensation for Federated Learning
International Conference on Learning Representations (ICLR), 2022
Ping Liu
Xin Yu
Qiufeng Wang
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195
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29 Sep 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
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Damien Scieur
Quentin Bertrand
Gauthier Gidel
Fabian Pedregosa
296
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27 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
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247
14
0
19 Sep 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
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Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
299
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0
19 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
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Tianlin Li
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Bin Luo
294
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26 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
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Hadi Jamali Rad
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284
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Semantic Self-adaptation: Enhancing Generalization with a Single Sample
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Oliver Hahn
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Nikita Araslanov
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Stefan Roth
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379
10
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Transformers as Meta-Learners for Implicit Neural Representations
European Conference on Computer Vision (ECCV), 2022
Yinbo Chen
Xiaolong Wang
AI4CE
306
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04 Aug 2022
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Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
228
2
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29 Jul 2022
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ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2022
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
305
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27 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
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Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
526
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24 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation
European Conference on Computer Vision (ECCV), 2022
Kepeng Xu
Haoxuan Qu
Jason Kuen
Jiuxiang Gu
Jun Liu
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256
28
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23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
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192
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21 Jul 2022
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
European Conference on Computer Vision (ECCV), 2022
Jiseok Youn
Jaehun Song
Hyung-Sin Kim
S. Bahk
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171
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20 Jul 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization
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Dewei Zhang
S. Tajbakhsh
238
1
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19 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing
British Machine Vision Conference (BMVC), 2022
Ruizhao Zhu
Pengkai Zhu
Samarth Mishra
Venkatesh Saligrama
367
1
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14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
IEEE Transactions on Image Processing (IEEE TIP), 2022
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
439
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14 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning
British Machine Vision Conference (BMVC), 2022
Guodong Liu
Tongling Wang
Shuoxi Zhang
Kun He
257
1
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09 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization
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Sang Keun Choe
Willie Neiswanger
P. Xie
Eric P. Xing
AI4CE
262
37
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05 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval
European Conference on Computer Vision (ECCV), 2022
A. Bhunia
Aneeshan Sain
Parth Shah
Animesh Gupta
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
439
24
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The least-control principle for local learning at equilibrium
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Alexander Meulemans
Nicolas Zucchet
Seijin Kobayashi
J. Oswald
João Sacramento
235
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Michael Chang
Thomas Griffiths
Sergey Levine
OCL
342
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On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
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Hongchang Gao
Bin Gu
My T. Thai
270
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Prompting Decision Transformer for Few-Shot Policy Generalization
International Conference on Machine Learning (ICML), 2022
Mengdi Xu
Songlin Yang
Shun Zhang
Yuchen Lu
Ding Zhao
J. Tenenbaum
Chuang Gan
OffRL
259
183
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27 Jun 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
Neural Information Processing Systems (NeurIPS), 2022
Lisha Chen
Songtao Lu
Tianyi Chen
MLT
240
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27 Jun 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
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Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
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185
42
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27 Jun 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning
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S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
172
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21 Jun 2022
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
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Massimiliano Patacchiola
J. Bronskill
Aliaksandra Shysheya
Katja Hofmann
Sebastian Nowozin
Richard Turner
VLM
353
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20 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Neural Information Processing Systems (NeurIPS), 2022
Yu Huang
Yingbin Liang
Longbo Huang
MLT
292
13
0
18 Jun 2022
Channel Importance Matters in Few-Shot Image Classification
International Conference on Machine Learning (ICML), 2022
Xu Luo
Jing Xu
Zenglin Xu
VLM
257
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16 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
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Markus Hiller
Mehrtash Harandi
Tom Drummond
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144
9
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Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
Louis Sharrock
186
2
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Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
International Conference on Machine Learning (ICML), 2022
Lucy L. Gao
J. Ye
Haian Yin
Shangzhi Zeng
Jin Zhang
167
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Faster Optimization-Based Meta-Learning Adaptation Phase
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K. Khabarlak
125
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
International Conference on Machine Learning (ICML), 2022
Momin Abbas
Quan-Wu Xiao
Lisha Chen
Pin-Yu Chen
Tianyi Chen
477
99
0
08 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
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Dong Chen
Lingfei Wu
Siliang Tang
Xiao Yun
Bo Long
Yueting Zhuang
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NoLa
194
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Arnav Chavan
Rishabh Tiwari
Udbhav Bamba
D. K. Gupta
158
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Dataset Distillation using Neural Feature Regression
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E. Nezhadarya
Jimmy Ba
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374
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P. Przybysz
Jacek Tabor
Maciej Ziȩba
Przemysław Spurek
385
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Automatic differentiation of nonsmooth iterative algorithms
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Edouard Pauwels
Samuel Vaiter
238
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Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
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Will Bilevel Optimizers Benefit from Loops
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Kaiyi Ji
Mingrui Liu
Yingbin Liang
Lei Ying
414
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Fair Representation Learning through Implicit Path Alignment
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Changjian Shui
Qi Chen
Jiaqi Li
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Christian Gagné
206
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